Teaching and Learning Guide 2: Linear Equations Activity Sheet Graphs and co-ordinates - Activities ACTIVITY ONE

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Generating Unlabeled Connected Cubic Planar Graphs Uniformly at Random* Manuel Bodirsky,1 Clemens Gröpl,2 Mihyun Kang1 1 Humboldt-Universität zu Berlin, Institut für Informatik, Unter den Linden 6, 10099

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Hamilton cycles in highly connected and expanding graphs Dan Hefetz ∗

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OPTIMAL PATH AND CYCLE DECOMPOSITIONS OF DENSE QUASIRANDOM GRAPHS ¨ STEFAN GLOCK, DANIELA KUHN AND DERYK OSTHUS Abstract. Motivated by longstanding conjectures regarding decompositions of

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BACK S HIFT : Learning causal cyclic graphs from unknown shift interventions Dominik Rothenh¨ausler⇤

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• Statistics
• Analysis
• Mathematical analysis
• Regression analysis
• Covariance and correlation
• Matrices
• Multivariate statistics
• Algebra of random variables
• Covariance
• Matrix
• Multivariate random variable
• Causality

Distributed algebraic connectivity estimation for undirected graphs with upper and lower bounds

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ON COVERING EXPANDER GRAPHS BY HAMILTON CYCLES ´ ROMAN GLEBOV, MICHAEL KRIVELEVICH, AND TIBOR SZABO Abstract. The problem of packing Hamilton cycles in random and pseudorandom graphs has been studied extensively. In thi

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Positional games on random graphs Miloˇs Stojakovi´c ∗† Tibor Szab´o∗

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Hamilton cycles in graphs and hypergraphs: an extremal perspective Abstract. As one of the most fundamental and well-known NP-complete problems, the Hamilton cycle problem has been the subject of intensive research. Rece

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MINING LARGE GRAPHS David F. Gleich, Michael W. Mahoney 1 introduction Graphs provide a general representation or data model for many types of data where pair-wise relationships are known or thought to be particularly im

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• Graph theory
• Algebraic graph theory
• Graph
• Neighbourhood
• Adjacency list
• Centrality
• Adjacency matrix
• Implicit graph
• Bipartite graph